Some researchers adopted deep learning to study the sentiment classification task of the emoji-based microblog comments. Zhao [1]} adopted CNN and RNN networks based on attention mechanism to extract semantic features and weighted the sentiment tendency values of the text and emojis to predict the sentiment tendency of Chinese microblog comments. Felbo [2]} predicted the appearance of emoji with pre-training deep neural networks, which is effective to extract emotion information from emoji in sentiment classification and sarcasm detection task. Li [3]} conducted a convolutional neural network to predict the occurrence of emoji and learn emoji embedding jointly through a matching layer based on cosine similarity. These approach, in our context, adopt emoji as independent inputs to predict the sentiment label, which suffer from ignoring the interactivity between emoji and plain text.
